ABS 2026: Adaptive Biometric Systems: Beyond One-Size-Fits-All Models
About us
ABS 2026 is a half-day workshop focused on population-aware biometrics across visual, physiological and behavioral modalities. The goal is to move from average-user pipelines to adaptive systems designed for diverse real-world users and conditions. It covers sensing, representation, learning, and evaluation protocols tailored to specific user groups and operational constraints.
Important Dates
Call For Paper
The workshop invites work on adaptive modeling, multimodal fusion, benchmarking, bias and failure analysis, and real-world deployment across face, gait, person re-identification, ECG, EEG, inertial, and wearable data. Submissions should be in IEEE double-column conference format, up to 6 pages including references.
Committee
Program Committee
Imad Rida
UTC, France
Fei Hao
Shaanxi Normal University, China
David Freire-Obregon
ULPGC, Spain
Jose J. Lorenzo Navarro
ULPGC, Spain
Modesto F. Castrillon Santana
ULPGC, Spain
Hao Wang
Xidian University, China
Federico Becattini
University of Siena, Italy
Fabio Narducci
University of Salerno, Italy
Michele Nappi
University of Salerno, Italy
Zhiyuan Tan
Edinburgh Napier University, UK
Shaohua Wan
UESTC, China
Maria De Marsico
Sapienza University of Rome, Italy
Florin V. Pop
UPB, Romania
Zhiwei Gao
Northumbria University, UK
Haroon Elahi
SUSTech, China
Md Z. A. Bhuiyan
Fordham University, USA
Oana Geman
Stefan Cel Mare University, Romania
Daniele Lozzi
University of L'Aquila, Italy
Enrico Mattei
University of L'Aquila, Italy
Organizing Committee
Lucia Cimmino
lucia.cimmino@unipegaso.it
Carmen Bisogni
cbisogni@unisa.it
Chiara Pero
c.pero@unilink.it
Marco Cascio
m.cascio@unilink.it